Application of Neural Networks in Software Engineering: A Review

被引：0
|
作者：
Singh, Yogesh [1 ]
Bhatia, Pradeep Kumar [2 ]
Kaur, Arvinder [1 ]
Sangwan, Omprakash [3 ]
机构：
[1] GGS IP Univ, Univ Sch Informat & Technol, Delhi, India
[2] GJU Sci & Technol, Dept CSE, Hisar, Haryana, India
[3] Amity Univ, Amity Inst Informat Technol, Noida, India
来源：
INFORMATION SYSTEMS, TECHNOLOGY AND MANAGEMENT-THIRD INTERNATIONAL CONFERENCE, ICISTM 2009 | 2009年 / 31卷
关键词：
Neural Network; Software Testing; Software Metrics; COST ESTIMATION; EMPIRICAL VALIDATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The software engineering is comparatively new and ever changing field. The challenge of meeting tight project schedules with quality software requires that the field of software engineering be automated to large extent and human intervention be minimized to optimum level. To achieve this goal the researchers have explored the potential of machine learning approaches as they are adaptable, have learning capabilities and non-parametric. In this paper, we take a look at how Neural Network (NN) can be used to build tools for software development and maintenance tasks.
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页码：128 / +
页数：4
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